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whisper-small-mn-1

This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 mn dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4537
  • Wer: 46.6845
  • Cer: 16.1695

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 1e-05
  • train_batch_size: 32
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 1000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Cer
0.1121 4.26 1000 0.4537 46.6845 16.1695

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu117
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2
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Dataset used to train bayartsogt/whisper-small-mn-1

Evaluation results